Abstract: The present disclosure relates to cardiac health assessment system for use with a handheld electronic device for assessing cardiac health of a user and a method for assessing cardiac health of a user. The disclosure further relates to systems and methods for training a machine learning model to estimate intracardiac pressure data.

Abstract: Systems and methods for creating personalized medicines for treating heart failure and heart disease that can capture non-invasive intracardiac pressure signals of the user through a micro-electro-mechanical sensor configured to a computing device. Bio-sample user data can also be captured through a bio-sample module. Other components can capture demographic data pertaining to the user. The user's Patient Health Record (PHR) data is captured through a PHR module. The system uses the processed data to create one or more personalized medicines for heart failure and heart disease through a machine learning module which can then be presented on a computing device user interface.

Abstract: Disclosed are systems and methods for assessing pulmonary health. An example system includes a handheld electronic device (HED); a casing; and at least one circuit board. The HED includes a display screen, a processor, and a software application. The casing includes a plurality of ECG electrodes that are placed on the outer surface of the casing and at least one diaphragm. The ECG electrodes capture the electrophysiological data of the user. The circuit board is configured within the casing and electrically connected with the ECG electrodes and a microcontroller. The circuit board is further connected to at least one sound transducer and at least one Inertial Measurement Unit (IMU) sensor. The sound transducer captures pulmonary signals indicative of pulmonary health. The IMU sensor captures seismic and gyroscope signals indicative of the pulmonary health of the user and the orientation of the casing. The diaphragm enhances the pulmonary audio signals captured by the sound transducer.

Abstract: A cardiac health assessment system and method for use with a handheld electronic device. The cardiac health assessment system includes an electronic device case (EDC), a plurality of electrodes, and a circuit board. The EDC secures the handheld electronic device. The electrodes include a first ECG electrode, a second ECG electrode, and a third electrode. The first ECG electrode is placed on an outer surface of the EDC. The second ECG electrode and the third electrode are placed on each side of the EDC to facilitate a thumb and fingers of a user to be placed on the handheld electronic device. The electrodes capture data indicative of the cardiac health of the user. The circuit board includes a microphonic sensor, an Inertial Measurement Unit (IMU) sensor, and a microcontroller. The microphonic sensor and IMU sensor capture cardiac health data. The microcontroller transmits cardiac health data to the handheld electronic device.

Abstract: A vein thromboembolism (VTE) risk assessment system that includes a casing having a shape adapted to secure a plurality of components with the casing. The casing includes a microphonic sensor, a Photoplethysmography (PPG) sensor, an Inertial Measurement Unit (IMU) sensor, a diaphragm, and a microcontroller. The microphonic sensor captures VTE audio signals indicative of the VTE risk of the user. The PPG sensor measures blood volume changes in a skin area in response to venous hemodynamic changes in a lower limb. The IMU sensor captures seismic signals indicative of the VTE risk of the user. The diaphragm enhances auscultation signals. The microcontroller transmits data to a computing device.